Marie-Hélène Masson

According to our database, Marie-Hélène Masson authored at least 47 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Cautious weighted random forests.

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson

Expert Syst. Appl., 2023

Cautious Decision-Making for Tree Ensembles.

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2022

Forêts aléatoires prudentes : une nouvelle stratégie de décision et quelques expériences.

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson

Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Explications contrefactuelles pour les forêts aléatoires prudentes.

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson

Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

2021

Racing trees to query partial data.

Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Rashad Ghassani

Soft Comput., 2021

Inference and Decision in Credal Occupancy Grids: Use Case on Trajectory Planning.

Marie-Hélène Masson, Sébastien Destercke, Véronique Cherfaoui

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021

Cautious Random Forests: a New Decision Strategy and some Experiments.

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

2020

Cautious relational clustering: A thresholding approach.

Marie-Hélène Masson, Benjamin Quost, Sébastien Destercke

Expert Syst. Appl., 2020

Dealing with Atypical Instances in Evidential Decision-Making.

Benjamin Quost, Marie-Hélène Masson, Sébastien Destercke

Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

2018

Partial data querying through racing algorithms.

Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson

Int. J. Approx. Reason., 2018

Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty.

Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

The Costs of Indeterminacy: How to Determine Them?

Gen Yang, Sébastien Destercke, Marie-Hélène Masson

IEEE Trans. Cybern., 2017

Cautious classification with nested dichotomies and imprecise probabilities.

Gen Yang, Sébastien Destercke, Marie-Hélène Masson

Soft Comput., 2017

K-Nearest Neighbour Classification for Interval-Valued Data.

Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson

Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Querying Partially Labelled Data to Improve a K-nn Classifier.

Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Modelling and predicting partial orders from pairwise belief functions.

Marie-Hélène Masson, Sébastien Destercke, Thierry Denoeux

Soft Comput., 2016

2015

Cautious label ranking with label-wise decomposition.

Sébastien Destercke, Marie-Hélène Masson, Michael Poss

Eur. J. Oper. Res., 2015

2014

CEVCLUS: evidential clustering with instance-level constraints for relational data.

Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux

Soft Comput., 2014

Editorial.

Marie-Hélène Masson, Sébastien Destercke, Benjamin Quost

Int. J. Approx. Reason., 2014

Nested Dichotomies with probability sets for multi-class classification.

Gen Yang, Sébastien Destercke, Marie-Hélène Masson

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2012

Editorial.

Arnaud Martin, Marie-Hélène Masson

Int. J. Approx. Reason., 2012

CECM: Constrained evidential C-means algorithm.

Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux

Comput. Stat. Data Anal., 2012

Evidential reasoning in large partially ordered sets - Application to multi-label classification, ensemble clustering and preference aggregation.

Thierry Denoeux, Marie-Hélène Masson

Ann. Oper. Res., 2012

Ranking from Pairwise Comparisons in the Belief Functions Framework.

Marie-Hélène Masson, Thierry Denoeux

Proceedings of the Belief Functions: Theory and Applications, 2012

2011

Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules.

Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux

Int. J. Approx. Reason., 2011

Ensemble clustering in the belief functions framework.

Marie-Hélène Masson, Thierry Denoeux

Int. J. Approx. Reason., 2011

2010

Dempster-Shafer Reasoning in Large Partially Ordered Sets: Applications in Machine Learning.

Thierry Denoeux, Marie-Hélène Masson

Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

CECM: Adding pairwise constraints to evidential clustering.

Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux

Proceedings of the FUZZ-IEEE 2010, 2010

2009

RECM: Relational evidential c-means algorithm.

Marie-Hélène Masson, Thierry Denoeux

Pattern Recognit. Lett., 2009

Decision fusion for postal address recognition using belief functions.

David Mercier, Genevieve Cron, Thierry Denoeux, Marie-Hélène Masson

Expert Syst. Appl., 2009

Multisensor data fusion for OD matrix estimation.

Krystyna Biletska, Marie-Hélène Masson, Sophie Midenet, Thierry Denoeux

Proceedings of the IEEE International Conference on Systems, 2009

Short-time OD matrix estimation for a complex junction using fuzzy-timed high-level petri nets.

Krystyna Biletska, Marie-Hélène Masson, Sophie Midenet, Thierry Denoeux

Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009

Fuzzy Modelling of Sensor Data for the Estimation of an Origin-Destination Matrix.

Krystyna Biletska, Sophie Midenet, Marie-Hélène Masson, Thierry Denoeux

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Belief Functions and Cluster Ensembles.

Marie-Hélène Masson, Thierry Denoeux

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

ECM: An evidential version of the fuzzy c.

Marie-Hélène Masson, Thierry Denoeux

Pattern Recognit., 2008

Refined classifier combination using belief functions.

Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

Pairwise classifier combination using belief functions.

Benjamin Quost, Thierry Denoeux, Marie-Hélène Masson

Pattern Recognit. Lett., 2007

2006

Inferring a possibility distribution from empirical data.

Marie-Hélène Masson, Thierry Denoeux

Fuzzy Sets Syst., 2006

Fuzzy multidimensional scaling.

Pierre-Alexandre Hébert, Marie-Hélène Masson, Thierry Denoeux

Comput. Stat. Data Anal., 2006

General Correction Mechanisms for Weakening or Reinforcing Belief Functions.

David Mercier, Thierry Denoeux, Marie-Hélène Masson

Proceedings of the 9th International Conference on Information Fusion, 2006

2005

Nonparametric rank-based statistics and significance tests for fuzzy data.

Thierry Denoeux, Marie-Hélène Masson, Pierre-Alexandre Hébert

Fuzzy Sets Syst., 2005

2004

EVCLUS: evidential clustering of proximity data.

Thierry Denoeux, Marie-Hélène Masson

IEEE Trans. Syst. Man Cybern. Part B, 2004

Principal component analysis of fuzzy data using autoassociative neural networks.

Thierry Denoeux, Marie-Hélène Masson

IEEE Trans. Fuzzy Syst., 2004

Clustering interval-valued proximity data using belief functions.

Marie-Hélène Masson, Thierry Denoeux

Pattern Recognit. Lett., 2004

2002

Multidimensional scaling of fuzzy dissimilarity data.

Marie-Hélène Masson, Thierry Denoeux

Fuzzy Sets Syst., 2002

2001

Recovery of the metric structure of a pattern of points using minimal information.

L. Tsogo, Marie-Hélène Masson, A. Bardot

IEEE Trans. Syst. Man Cybern. Part A, 2001

2000

Multidimensional scaling of interval-valued dissimilarity data.

Thierry Denoeux, Marie-Hélène Masson

Pattern Recognit. Lett., 2000